Evidence map›Paper›PMID 31606936›Full record

ArticleJournal of biomedical materials research. Part A2020

Tunable methacrylated hyaluronic acid-based hydrogels as scaffolds for soft tissue engineering applications.

Benjamin S Spearman, Nikunj K Agrawal, Andrés Rubiano, Chelsey S Simmons, Sahba Mobini, Christine E Schmidt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical materials research. Part A, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Hyaluronic Acid-Based Bioink for Anisotropic Neural Tissue Cryobioprinting.International journal of extreme manufacturing · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Benjamin S SpearmanJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
Nikunj K AgrawalJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
Andrés RubianoDepartment of Mechanical and Aerospace Engineering, University of Florida, Gainesville, Florida.
Chelsey S SimmonsJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.ORCID 0000-0001-6973-9813
Sahba MobiniJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.ORCID 0000-0003-2756-8694
Christine E SchmidtJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.

Funding

Console upgrade for microimaging and solid state NMR spectroscopy at 600 MHzS10RR031637 · NCRR · UNIVERSITY OF FLORIDA · PI LONG, JOANNA R · 2011 to 2011
$450k
NCRR NIH HHS S10 RR031637
6 · The paper itself

Abstract

Hyaluronic acid (HA)-based biomaterials have been explored for a number of applications in biomedical engineering, particularly as tissue regeneration scaffolds. Crosslinked forms of HA are more robust and provide tunable mechanical properties and degradation rates that are critical in regenerative medicine; however, crosslinking modalities reported in the literature vary and there are few comparisons of different scaffold properties for various crosslinking approaches. In this study, we offer direct comparison of two methacrylation techniques for HA (glycidyl methacrylate HA [GMHA] or methacrylic anhydride HA [MAHA]). The two methods for methacrylating HA provide degrees of methacrylation ranging from 2.4 to 86%, reflecting a wider range of properties than is possible using only a single methacrylation technique. We have also characterized mechanical properties for nine different tissues isolated from rat (ranging from lung at the softest to muscle at the stiffest) using indentation techniques and show that we can match the full range of mechanical properties (0.35-6.13 kPa) using either GMHA or MAHA. To illustrate utility for neural tissue engineering applications, functional hydrogels with adhesive proteins (either GMHA or MAHA base hydrogels with collagen I and laminin) were designed with effective moduli mechanically matched to rat sciatic nerve (2.47 ± 0.31 kPa). We demonstrated ability of these hydrogels to support three-dimensional axonal elongation from dorsal root ganglia cultures. Overall, we have shown that methacrylated HA provides a tunable platform with a wide range of properties for use in soft tissue engineering.

Indexed as

AnimalsCells, CulturedHyaluronic AcidHydrogelsMethacrylatesNeuronal OutgrowthRatsRats, Sprague-DawleyTissue EngineeringTissue ScaffoldsHyaluronic AcidHydrogelsMethacrylateshyaluronic acid hydrogelshydrogel mechanical characterizationneural tissue engineeringsoft tissue engineering

Identifiers

PMID31606936
PMCPMC8591545

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.